Liu Xu
National Urban Environmental Pollution Control Engineering Research Center, Beijing Municipal Research Institute of Ecology and Environmental Protection, Beijing 100037, China.
Huan Jing Ke Xue. 2024 Oct 8;45(10):5624-5631. doi: 10.13227/j.hjkx.202310178.
The agglomeration of carbon emissions from the pharmaceutical and health industry has been growing gradually in Beijing. Conducting research on the path of co-control of pollution and carbon emission reduction in industrial parks is essential to realize synergy between economic development, pollution reduction, and green low-carbon. Based on the production activity data in 2020 of two typical parks of manufacturing and R&D, we selected six measures for co-control of pollution and carbon emission reduction and set up a synergistic development scenario to explore the collaborative development path of different types of parks. The results showed that： ① The primary carbon emission source in the two parks was energy consumption, such as natural gas and electricity, whereas the major pollution source was from key polluting enterprises. The emissions in the R&D park were significantly lower than those in manufacturing parks, with atmospheric pollutant emissions accounting for 25% of the manufacturing park's emissions. ② Energy structure and intensity, along with pollutant emission reduction measures, contributed 62.6% and 37.4% to pollution and carbon emission reduction for the R&D park and 81.6% and 13.5% for manufacturing park, respectively. ③ Adjusting the energy structure of the park and prioritizing the management of key polluting enterprises could achieve synergistic emission reduction, with the rate of emission reduction primarily reflecting atmospheric pollutants. Reducing energy intensity could also facilitate synergistic emission reduction, with a rapid rate of carbon emission reduction. Optimizing the industrial structure could lead to different degrees of pollution and carbon emissions increasing synergistically or not synergistically, owing to the particularity of the industrial structure of the park. ④ Applying measures to adjust the energy structure and reduce energy intensity and pollutant emissions into the collaborative path should be a priority. The governance scope of key polluting enterprises should be appropriately expanded in manufacturing parks. The synergistic effect of public environmental protection facilities of R&D parks should be focused on, in addition to reducing corporate pollutant emissions. Measures to optimize industrial structure at the park level should be adjusted to local conditions and scientifically guide industrial transformation and the settlement of high-tech enterprises.
北京医药健康产业碳排放集聚度呈逐步上升趋势。开展产业园区污染与碳排放协同控制路径研究，对实现经济发展、污染减排与绿色低碳协同发展至关重要。基于两个典型制造与研发园区2020年的生产活动数据，选取六项污染与碳排放协同控制措施，构建协同发展情景，探索不同类型园区的协同发展路径。结果表明：①两个园区的主要碳排放源为天然气、电力等能源消耗，主要污染源来自重点污染企业。研发园区的排放量显著低于制造园区，大气污染物排放量占制造园区排放量的25%。②能源结构与强度以及污染物减排措施分别对研发园区污染与碳排放减排贡献62.6%和37.4%，对制造园区贡献81.6%和13.5%。③调整园区能源结构并优先管理重点污染企业可实现协同减排，减排率主要体现为大气污染物。降低能源强度也有助于协同减排，碳排放减排速度较快。由于园区产业结构的特殊性，优化产业结构可能导致污染与碳排放协同增加或不协同增加。④应优先将调整能源结构、降低能源强度和污染物排放的措施纳入协同路径。制造园区应适当扩大重点污染企业的治理范围。研发园区除降低企业污染物排放外，应注重公共环保设施的协同效应。园区层面优化产业结构的措施应因地制宜，并科学引导产业转型和高新技术企业入驻。
